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Fast segmentation approach for SAR image based on simple Markov random field
Authors:Xiaogang Lei  Ying Li  Na Zhao  Yanning Zhang
Institution:Department of Computer Science, Northwestern Polytechnical University, Xi'an 710072, P. R. China
Abstract:Traditional image segmentation methods based on MRF converge slowly and require pre-defined weight. These disadvan-tages are addressed, and a fast segmentation approach based on simple Markov random field (MRF) for SAR image is proposed. The approach is firstly used to perform coarse segmentation in blocks. Then the image is modeled with simple MRF and adaptive variable weighting forms are applied in homogeneous and heterogeneous regions. As a result, the convergent speed is accelerated while the segmentati...
Keywords:SAR image segmentation  simple Markov random field  coarse segmentation  maximum a posterior  iterated condi-tion mode
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